Operation Optimization of Circulating Cooling Water System Based on Adaptive Differential Evolution Algorithm

The circulating cooling water system (CCWS) is a commonly used auxiliary system in industrial production, and it is also one of the main energy-consuming systems. The operating conditions of the system vary with the temperature changes caused by seasons, day and night, causing different energy consu...

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Bibliographic Details
Published in:International journal of computational intelligence systems 2023-02, Vol.16 (1), p.1-15, Article 22
Main Authors: Niu, Dapeng, Liu, Xudong, Tong, Yudong
Format: Article
Language:English
Subjects:
Adaptive differential evolution algorithm
Artificial Intelligence
Circulating cooling water system
Computational Intelligence
Control
Domain knowledge
Engineering
Mathematical Logic and Foundations
Mechatronics
Operating conditions
Operation optimization
Research Article
Robotics
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Summary:The circulating cooling water system (CCWS) is a commonly used auxiliary system in industrial production, and it is also one of the main energy-consuming systems. The operating conditions of the system vary with the temperature changes caused by seasons, day and night, causing different energy consumption. If the system still maintains conditions when the actual conditions change, energy would be wasted. Operation optimization for the system can improve the operation effect of the system, reduce energy consumption, and increase operating efficiency. Therefore, through operation mechanism analysis for the main energy-consuming components of the CCWS that has been put into use, an operation optimization model is established integrating the domain knowledge. After that, an adaptive differential evolution (ADE) algorithm is proposed by introducing the adaptive mutation and crossover operator to solve the model. According to the minimum circulating water volume and air volume required by the system under different working conditions, the optimal start-up combination mode and operating frequency of the water pumps and fans are determined. And then, the optimal opening values of the regulating valves and baffles in the system are determined, thereby saving the energy of the system. Considering system operation knowledge, the synchronous optimization of the operation mode and operation status of the components in the system is realized. Finally, the effectiveness of the optimization method is verified through a case study.
ISSN:1875-6883
1875-6883
DOI:10.1007/s44196-023-00191-z